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Trajectory Pattern Mining
Published on Aug 14, 20078951 Views
The increasing pervasiveness of location-acquisition technologies (GPS, GSM networks, etc.) is leading to the collection of large spatio-temporal datasets and to the opportunity of discovering usable
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Chapter list
Trajectory Pattern Mining00:03
Plan of the Talk00:18
Motivations00:20
Motivations (2)00:55
Motivations (3)01:17
Sequential Patterns for Trajectories pt 101:40
Sequential Patterns for Trajectories pt 202:38
T-Patterns for Trajectories03:02
Continuity Issues (Space & Time)04:53
T-Pattern: Approximate Occurrence pt 106:01
T-Pattern: Approximate Occurrence pt 207:08
T-Pattern: Approximate Occurrence pt 307:38
T-Pattern: Approximate Occurrence pt 408:01
Computing General T-Patterns08:35
Simple Forms of T-Pattern09:34
Static Neighborhoods10:00
From ST-Sequences to Sequences10:53
Translating ST-Sequences11:27
Static Neighborhoods: Issue11:44
Static Neighborhoods pt 112:01
Static Neighborhoods pt 212:40
Multi-Step Refinement RoI12:42
Step-Wise Dynamic RoI: Example pt 114:06
Step-Wise Dynamic RoI: Example pt 214:43
Step-Wise Dynamic RoI: Example pt 315:01
Step-Wise Dynamic RoI15:08
Sample T-Patterns15:10
Performances16:30
Ongoing Work17:12
End of the Talk18:07